Play 4: Build for citation. Structure is what makes teaching machine-legible. Every lesson gets a descriptive title, a stated outcome, and a clean URL that resolves without a login. Publish the curriculum map itself. Keep terminology consistent across lessons so the vocabulary you coined in Play 1 is what the machines learn.
Then verify. Ask the major AI assistants the questions your curriculum answers. Check whether you are in the answer. That check, run monthly, is the Express scoreboard nobody had five years ago. Treat share-of-answer the way a previous generation treated search ranking.
Lesson anatomy
Descriptive title
A title a stranger could search. Not a slogan.
Share-of-answer
HubSpot's Amplify stage tracks AI visibility, share of voice, and citations. Those are Amplify metrics. The work that earns them starts in Express, when you write lessons a model can lift. Course A taught AEO and CLEAR. This play is AEO applied to curriculum: outcomes instead of slogans, terms that do not drift, pages that are not behind a wall.
Do not confuse this with stuffing keywords. Citation wants claims, numbers, and a stable name for the problem. Adoption debt, certified density, share-of-answer: those are coins. Use them verbatim once minted. Do not invent a synonym each lesson.
Lesson-level views and the contact's entry point still belong on the record. What someone chose to learn first is the cleanest statement of intent in the funnel.
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